Method for identifying from digital form (images) of typical interventions to text information (color, type ink, signs, video change)
( Pp. 107-112)

More about authors
Allaberganov Akhmedzhan A. aspirant kafedry kriminalistiki, sudebnyh ekspertiz i yuridicheskoy psihologii; aspirant kafedry ASU, Fotonika, priborostroenie, opticheskie i biotehnicheskie sistemy i tehnologii
Baikal State University; Tomsk State University of Control Systems and Radioelectronics
Abstract:
A method has been developed for processing and analyzing the spectral space, obtaining images and recognizing text (textual information) by the video spectral and video microscopic research method, using the Forensic Multifunctional Complex (CMC) with the help of forensic software, which allows to determine the features of objects that are present on the investigated (source) image. At the same time, in the visible region of the spectrum, the optimal method (method) of the algorithmic implementation of transformations depending on the type of their characteristics of the object and their parts can be distinguished. The proposed research method (method), recognition and identification from digital form (image) of typical interventions in text information (color, ink type, signs, modification), highlighting of text elements and recognition of objects and their parts, identification of falsification (fake) of a document, text characters in electronic format (digital form). This method can significantly increase the effectiveness of expert activities in the production of technical and forensic research.
How to Cite:
Allaberganov A.A., (2020), METHOD FOR IDENTIFYING FROM DIGITAL FORM (IMAGES) OF TYPICAL INTERVENTIONS TO TEXT INFORMATION (COLOR, TYPE INK, SIGNS, VIDEO CHANGE). Sociopolitical Sciences, 2 => 107-112.
Reference list:
Barinova O.A. Ispol zovanie sovremennykh instrumental nykh sredstv dlya raspoznavaniya podloga dokumentov: dostoinstva i nedostatki // Voprosy ekspertnoy praktiki. 2019. № S1. S. 41-46.
Bakhteev D.V. Komp yuternoe zrenie i raspoznavanie obrazov v kriminalistike// Rossiyskoe pravo: obrazovanie, praktika, nauka. 2019. № 3 (111). S. 66-74.
Buldakova T.I., Slavin O.A., Putintsev D.N. Algoritmy integratsii rezul tatov raspoznavaniya v videoposledovatel nostyakh poley dokumentov, udostoveryayushchikh lichnost // Mezhdunarodnyy zhurnal prikladnykh i fundamental nykh issledovaniy. 2017. № 7-2. S. 172-175.
Usilin S.A., Arlazarov V.V., Aliev M.A., Matalov D.P. Programma raspoznavaniya priznakov podlinnosti Smart Document Forensics . Svid-vo o reg. programmy dlya EVM RU 2018615343, 07.05.2018. Zayavka № 2018612851 ot 23.03.2018.
Allaberganov A.A., Kataev M.YU. Mnogofunktsional nyy issledovatel skiy kompleks resheniya zadach analiza tekstovoy informatsii // Mezhdunar. nauch.-prakt. konf. (MNPK ES i SU - 2018). CH. 1 227 s.
Allaberganov A.A. Metod polucheniya poteryannoy tekstovoy informatsii iz tsifrovoy formy, vosstanovlenie i ee analiz // YUridicheskaya nauka. 2020. № 1 (perechen VAK Minobrnauki RF).
Allaberganov A.A. Kriminalisticheskiy mnogofunktsional nyy videomikroskopicheskiy spektral nyy kompleks. Metodika resheniya zadach raspoznaniya i analiza tekstovoy informatsii iz tsifrovoy formy // Sovremennaya nauka. Seriya: Ekonomika i pravo. 2020. № 1 (perechen VAK Minobrnauki RF).
Keywords:
modification, typical interventions in textual information, forensic examination, fake, digital form.


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